Attention-Based Adversarial Attacks

Latest papers

13 papers1 paper in the last four weeks, with none the four weeks before. 0.0% of all new papers.

PASA-KV: Attacking Action-Facing Visual Routes in World Action Models
Oct 29, 2026Zhongbo Wu, Jiakai Huang, Zheng Zhang +6Adversarial Attacks on World Models Adversarial Attacks
Shanghai Jiao Tong University · Shanghai Innovation Institute · ACE Robotics +2
FraudBench: Protocol-Sensitive Benchmarking of Adversarial Robustness for Financial Risk Assessment
Aug 25, 2026Xitong Zeng, Zhaoge Bi, Yitian Yang +2Attention-Based Adversarial Attacks Adversarial Robustness
School of Electrical and Computer Engineering The University of Sydney Sydney, Australia · School of Computing Macquarie University Sydney, Australia
Corrupting Attention: Evasion-Based Adversarial Attacks on Encoder Attention in Detection Transformers
Aug 7, 2026Ridma Jayasundara, Shaheer Mohamed, Tharindu Fernando +6Adversarial Attacks Adversarial Robustness
Signal Processing, Artificial Intelligence and Vision Technologies Group (SAIVT), Queensland University of Technology · Institute of High-Performance Computing, Agency for Science, Technology and Research, Singapore · School of Computing, National University of Singapore +1
I2VShield: An Efficient Proactive Defense Framework against DiT-based Image-to-Video Models
Jul 28, 2026Yimao Guo, Zuomin Qu, Wei LuImage-to-Video Generation Adversarial Attacks
School of Computer Science and Engineering, Sun Yat-sen University Ministry of Education Key Laboratory of Information Technology Guangdong Province Key Laboratory of Information Security Technology Guangzhou 510006, China · Guangdong Province Key Laboratory of Information Security Technology Guangzhou 510006, China · State Key Laboratory of HVDC, China Southern Power Grid Electric Power Research Institute
Adversarial Decoys: Misdirecting Attention-Based Defenses in ViT
Jul 8, 2026Giulia Marchiori Pietrosanti, Giulio Rossolini, Giorgio ButtazzoAdversarial Patch Attacks Adversarial Attacks
Department of Excellence in Robotics and AI, Sant’Anna School of Advanced Study, Italy
Attention Hijacking: Response Manipulation Across Queries in Vision-Language Models
May 17, 2026Zhiqiang Wang, Dongrui Liu, Yan Li +4Adversarial Attacks on VLMs Adversarial Attacks
Hong Kong University of Science and Technology · Shanghai Jiao Tong University · Beihang University
Attention Is Where You Attack
Apr 30, 2026Aviral Srivastava, Sourav PandaSelf-Attention Adversarial Attacks
Amazon · The Pennsylvania State University
Seeing No Evil: Blinding Large Vision-Language Models to Safety Instructions via Adversarial Attention Hijacking
Apr 11, 2026Jingru Li, Wei Ren, Tianqing ZhuJailbreak Attacks Adversarial Attacks on VLMs
China University of Geosciences, Wuhan · City University of Macau
Complementary Text-Guided Attention for Zero-Shot Adversarial Robustness
Mar 19, 2026Lu Yu, Haiyang Zhang, Changsheng XuAttention-Based Adversarial Attacks Contrastive Learning for VLMs
School of Computer Science and Engineering, Tianjin University of Technology, 300384, China · State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China · School of Artificial Intelligence, University of the Chinese Academy of Sciences, Beijing, 100049, China
Depth Charge: Jailbreak Large Language Models from Deep Safety Attention Heads
Mar 6, 2026Jinman Wu, Yi Xie, Shiqian Zhao +1Adversarial Attacks on LLMs LLM Jailbreak Attacks
Xidian University, Xi’an, China · Tsinghua University, Shenzhen, China · Nanyang Technological University, Singapore
Advantage-based Temporal Attack in Reinforcement Learning
Feb 23, 2026Shenghong HeAttention-Based Adversarial Attacks Adversarial Attacks
the School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 510006, China
PA-Attack: Guiding Gray-Box Attacks on LVLM Vision Encoders with Prototypes and Attention
Feb 23, 2026Hefei Mei, Zirui Wang, Chang Xu +2Attention-Based Adversarial Attacks Adversarial Attacks on VLMs
City University of Hong Kong · The University of Sydney
Stage-wise Attention-Guided Region Sequencing for Adversarial Attacks on Large Vision-Language Models
Feb 4, 2026Jaehyun Kwak, Nam Cao, Boryeong Cho +3Adversarial Attacks on VLMs Adversarial Attacks
KAIST · KENTECH

Oct 29, 2026J/K move · Enter open · S save

PASA-KV: Attacking Action-Facing Visual Routes in World Action Models

Zhongbo Wu, Jiakai Huang, Zheng Zhang, Siyu Xu+5

Shanghai Jiao Tong University · Shanghai Innovation Institute · ACE Robotics+2

Adversarial Attacks on World Models Adversarial Attacks Action-Conditioned World Models Attention-Based Adversarial Attacks

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World action models (WAMs) increasingly couple internal visual or world representations with action generation, making their world-to-action pathways a critical yet poorly understood source of robustness. We investigate when perturbations to these internal representations actually become behaviorally consequential, and uncover a pronounced mismatch between representation perturbability and closed-loop vulnerability: attack effectiveness varies sharply across visual K/V routes, while larger representation displacement does not reliably imply stronger control failure. Our analysis attributes this mismatch to the action-conditioned readout, where keys determine where action queries read and values determine what content they receive. This motivates an action-facing view of vulnerability, in which the effect of a perturbation depends on how it is routed into action generation rather than on representation-space magnitude alone. We instantiate this view with Tail-AV, a short-probe signal for identifying vulnerable routes, and operationalize it in PASA-KV, which selects action-facing K/V targets before training a fresh task-shared attack. Experiments across multiple WAM systems and a physical robot validate readout-informed target selection, demonstrate strong closed-loop attacks, and reveal substantial system-level differences in resistance.